Demographics details for Suffolk, VA vs Santa clara, CA
Population Overview
Compare main population characteristics in Suffolk, VA vs Santa clara, CA.
| Data | Suffolk | Santa clara |
|---|---|---|
| Population | 98,537 | 126,930 |
| Median Age | 38.5 years | 34.5 years |
| Median Income | $87,758 | $165,352 |
| Married Families | 40.0% | 45.0% |
| Poverty Level | 7% | 8% |
| Unemployment Rate | 3.2 | 3.9 |
Population Comparison: Suffolk vs Santa clara
- The population in Santa clara is higher at 126,930, compared to 98,537 in Suffolk.
- Residents in Suffolk have a higher median age of 38.5 years compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352, compared to $87,758 in Suffolk.
- In Santa clara, the percentage of married families is higher at 45.0%, compared to 40.0% in Suffolk.
- The poverty level is higher in Santa clara at 8%, compared to 7% in Suffolk.
- Santa clara has a higher unemployment rate at 3.9% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Santa clara provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Santa clara |
|---|---|---|
| Black | 40 | 2 |
| White | 47 | 27 |
| Asian | 2 | 48 |
| Hispanic | 5 | 15 |
| Two or More Races | 6 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Suffolk vs Santa clara
- A higher percentage of Black residents are in Suffolk at 40% compared to 2% in Santa clara.
- Suffolk has a higher percentage of White residents at 47% compared to 27% in Santa clara.
- In Santa clara, the Asian population stands at 48%, greater than 2% in Suffolk.
- Santa clara has a higher percentage of Hispanic residents at 15%, compared to 5% in Suffolk.
- The percentage of residents identifying as two or more races is higher in Santa clara at 8%, compared to 6% in Suffolk.
- The percentage of American Indian residents is the same in both Suffolk and Santa clara at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Santa clara |
|---|---|---|
| Mental Health Not Good | 16.6% | 12.0% |
| Physical Health Not Good | 10.6% | 7.4% |
| Depression | 21.4% | 14.2% |
| Smoking | 15.3% | 7.1% |
| Binge Drinking | 16.6% | 13.9% |
| Obesity | 42.4% | 18.6% |
| Disability Percentage | 11.0% | 7.0% |
Health Statistics Comparison: Suffolk vs Santa clara
- More residents in Suffolk report poor mental health at 16.6% compared to 12.0% in Santa clara.
- Depression is more prevalent in Suffolk at 21.4% compared to 14.2% in Santa clara.
- Smoking is more prevalent in Suffolk at 15.3% compared to 7.1% in Santa clara.
- Binge drinking is more common in Suffolk at 16.6% compared to 13.9% in Santa clara.
- Obesity rates are higher in Suffolk at 42.4% compared to 18.6% in Santa clara.
- Disability percentages are higher in Suffolk at 11.0% compared to 7.0% in Santa clara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | Santa clara |
|---|---|---|
| No Schooling | 1.0% (965) | 0.9% (1,134) |
| High School Diploma | 14.9% (14,643) | 7.3% (9,232) |
| Less than High School | 7.8% (7,701) | 7.1% (8,967) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 46.5% (58,962) |
Education Levels Comparison: Suffolk vs Santa clara
- A higher percentage of residents in Suffolk have no formal schooling at 1.0% compared to 0.9% in Santa clara.
- A higher percentage of residents in Suffolk hold a high school diploma at 14.9% compared to 7.3% in Santa clara.
- More residents in Suffolk have less than a high school education at 7.8% compared to 7.1% in Santa clara.
- In Santa clara, a larger share of residents have a bachelor's degree or higher at 46.5% compared to 21.0% in Suffolk.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.